Customer discovery is the lifeblood of product strategy, but anyone who has run user interviews knows the operational tax: splitting your attention between listening and typing, rewatching hours of recordings to find a single quote, and writing synthesis docs that stakeholders rarely read. For Product Managers (PMs) and User Experience (UX) Researchers, tl;dv replaces manual interview administration with an automated, video-first workflow.
By integrating directly with Google Meet, Zoom, and Microsoft Teams, tl;dv transcribes conversations in over 30 languages, captures critical moments live via one-click timestamps, turns transcript highlights into shareable video soundbites, and synthesizes recurring themes across calls using AI. Here is how product teams set up and execute this workflow to turn customer conversations into roadmap decisions.
1. Setting Up the Call and Capturing Live Timestamps
Traditionally, running an effective customer interview required two people: a moderator to guide the conversation and a dedicated note-taker. When running solo, researchers often break eye contact, missing subtle non-verbal cues while scrambling to type notes.
tl;dv automates meeting capture so the interviewer can remain completely present:
- Automated Recording & Transcription: Connect tl;dv to your calendar. Depending on your platform, tl;dv joins automatically or via the Google Meet Chrome extension and Zoom/Teams desktop app. It records high-resolution video and produces a speaker-labeled transcript in real time.
- The "Magic Pin" Timestamp: When an interviewee drops an unexpected insight, highlights a severe workflow friction, or shares a workaround, click the pin icon (or use the keyboard shortcut) without breaking conversational flow.
- In-Call Annotations and Mentions: If a customer mentions an API blocker or design complaint, you can type a quick note and
@mentionan engineer or product designer right at that timestamp. Once the call ends, your teammate receives a direct notification linked to that exact second of the recording.
Because the system tracks every word, you no longer need to transcribe verbatim quotes during the session.
2. Creating Video Clips and Thematic Highlight Reels
Text-heavy user research reports frequently suffer from stakeholder skepticism. An executive or engineer reading "3 out of 5 users found the dashboard confusing" may dismiss the finding as subjective. Hearing and seeing a customer struggle on video, however, eliminates ambiguity.
tl;dv makes generating video evidence as fast as editing text:
- Highlight-to-Clip Editing: Open the completed recording in your tl;dv library. Rather than scrubbing through a 45-minute video timeline with a video editor, scroll through the interactive transcript. Highlight the sentence or paragraph where the user describes their frustration, and click Create Clip.
- Fine-Tuning the Soundbite: Use the built-in trimmer to adjust the start and end points so the clip includes essential conversational context while trimming out filler words or awkward pauses.
- Stitching Highlight Reels: When presenting research findings, single soundbites can feel isolated. tl;dv allows you to combine multiple clips from different customer calls into a single Reel. For instance, compile five 20-second clips of distinct enterprise buyers explaining why they stalled at checkout into a two-minute montage.
- Embedding Across the Stack: Every clip generates a shareable link that unfurls with an interactive player. You can paste clips directly into Slack channels, Notion Product Requirement Documents (PRDs), Jira issues, or Linear tickets so engineering squads see customer evidence directly inside their sprint planning tasks.
3. Summarizing Findings and Querying the Research Repository
Post-interview analysis often consumes more time than the call itself. tl;dv leverages generative AI to condense unstructured dialogue into structured research artifacts:
- Smart Summaries & Topic Categorization: Right after the call concludes, tl;dv generates an automated summary organized by themes, core takeaways, and action items. Each bullet point links directly to the corresponding timestamp, allowing anyone reviewing the notes to verify the customer's actual words in context.
- Custom Research Templates: Instead of generic meeting minutes, researchers can configure custom AI templates mapped to UX methodologies—such as Jobs-to-be-Done (JTBD), usability feedback, feature requests, or customer pain points.
- Multi-Meeting Intelligence ("Ask tl;dv"): Individual interview notes are useful, but research value compounds across studies. The "Ask tl;dv" search bar queries across your entire library of recordings. You can prompt: "What recurring complaints have enterprise customers voiced about our permission settings over the last 90 days?" The engine returns a synthesized answer complete with direct citation links to the relevant video timestamps across multiple sessions.
4. Best Practices for Interview Integrity
To maximize the value of tl;dv without introducing bias or operational friction, keep these guidelines in mind:
- Secure Consent Upfront: Always inform participants that the session will be recorded and transcribed for research purposes, confirming their agreement before diving into questions.
- Avoid Clip Cherry-Picking: Video soundbites are persuasive, which makes confirmation bias dangerous. Ensure your clips and reels reflect genuine user patterns rather than isolated outliers that support a pet theory.
- Review Technical Nomenclature: While transcription accuracy is high, domain-specific industry jargon or internal product codenames may occasionally be misinterpreted. Scan key sections of the transcript before clipping to ensure text labels are accurate.
5. Plans and Selection Advice
- Free Forever Plan: Includes unlimited recording and transcription on Zoom, Google Meet, and Teams across 30+ languages, with standard timestamping and clipping. However, recordings have a 3-month storage window and AI summaries/queries are capped. This tier is well-suited for solo PMs testing the tool.
- Pro Plan ($18 to $29 per user/month, billed annually or monthly): Unlocks unlimited AI summaries, custom interview note templates, unlimited recording storage, download capabilities, and CRM/Notion integrations. This is the optimal tier for UX researchers and product teams conducting regular discovery sprints.
- Business / Enterprise: Recommended for larger product and customer-facing organizations requiring conversation intelligence scorecards, team coaching features, advanced access controls, and enterprise-grade security compliance.
By combining live timestamping, instant text-based clipping, and cross-meeting AI synthesis, tl;dv transforms user interviews from static audio archives into actionable, undeniable evidence that drives customer-centric product decisions.